Mood changes after watching pornography on the Internet are linked to symptoms of Internet-pornography-viewing disorder (2016)

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Addictive Behaviors Reports

Available online 8 December 2016

http://dx.doi.org/10.1016/j.abrep.2016.11.003


Highlights

  • Investigation of mood and sexual arousal before and after self-determined Internet pornography use in private environment
  • Watching pornography was associated to changes in mood and indicators of sexual arousal
  • Mood before and after Internet pornography use as well as changes in mood were associated to symptoms of Internet-pornography-viewing-disorder

Abstract

Internet-pornography-viewing disorder (IPD) is considered one type of Internet-use disorder. For IPD's development, it was assumed theoretically that a dysfunctional use of Internet pornography to cope with depressive mood or stress might be considered as a risk factor. To address the effect of Internet pornography use on mood, an online study with three measuring points with a sample of male participants was conducted. Participants were investigated regarding their tendencies towards IPD, personal use of Internet pornography, general mood, perceived stress, and their Internet pornography use motivation. Moreover, participants were asked regarding their current mood, sexual arousal, and need to masturbate before and following they watched Internet pornography self-determinedly in a private environment. Data showed that tendencies towards IPD were associated negatively with feeling generally good, awake, and calm and positively with perceived stress in daily life and using Internet pornography for excitation seeking and emotional avoidance. Self-determined use of Internet pornography in private environment was accompanied by changes in mood and indicators of sexual arousal. Moreover, tendencies towards IPD were negatively related to mood before and after Internet-pornography use as well as an actual increase of good and calm mood. The results showed effects of watching Internet pornography on mood and sexual arousal which can be considered having reinforcing effects for the user. Thus, the results are in line with theoretical assumptions on IPD's development, in which the positive (and negative) reinforcement received by Internet-pornography use is related to cue-reactivity and craving reactions.

Keywords

  • Internet pornography;
  • Addiction;
  • Mood;
  • Sexual arousal

1. Introduction

The potential positive and negative effects of watching pornography on the Internet are discussed controversially (Campbell and Kohut, 2016, Grubbs et al., 2016, Hald and Malamuth, 2008, Harkness et al., 2015, Peter and Valkenburg, 2014, Shaughnessy et al., 2014 and Stanley et al., 2016). It has become obvious that some individuals report a loss of control regarding their pornography use, which is frequently accompanied by increasing using times and negative consequences in several life domains, such as school/academic/job functioning (Duffy et al., 2016, Griffiths, 2012 and Wéry and Billieux, 2015). The addictive nature of sexual behaviors is still debated (Potenza, 2014), but many researchers argue that both watching pornography and sexual behaviors in general might be considered addictive (Brand et al., 2014, Garcia and Thibaut, 2010, Kraus et al., 2016 and Love et al., 2015). While some argue that addictive viewing of Internet pornography may be specific form of sex addiction or hypersexuality (Garcia and Thibaut, 2010 and Kafka, 2015), others argue that it should be classified as a specific type of Internet addiction (Laier and Brand, 2014 and Young, 2008). Indeed pornography was shown to be the Internet application at risk for developing addictive usage pattern (Meerkerk, van den Eijnden, & Garretsen, 2006). Because of the ongoing discussion on its phenomenology we use the term Internet-pornography-viewing disorder (IPD) in analogy to Internet-gaming disorder used in the DSM-5 (APA, 2013). Since there is no agreement on the diagnostic criteria of IPD, the prevalence of the phenomenon can only be estimated. One study examined a sample representative for Sweden and found 2% of the female and 5% of the male participants reporting symptoms of IPD (Ross, Månsson, & Daneback, 2012).

With respect to the development of IPD it was argued that characteristics of the medium (e.g., reinforcing effects, anonymity, accessibility), contribute to the motivation to watch pornography (Cooper, Delmonico, Griffin-Shelley, & Mathy, 2004). With respect to the characteristics of the users, it was argued that individuals might be predisposed for the development of IPD symptoms by personal characteristics (e.g., high sexual excitability) and that these characteristics interact with cognitions related to pornography usage (e.g., positive use expectancies) (Laier & Brand, 2014). Due to the reinforcing effects in terms of sexual gratification by watching pornography, processes of conditioning should lead to the development of cue-reactivity and resulting craving reactions to internal or external addiction-related cues. Evidence for the important role of sexual arousal and craving reactions for IPD has been shown in several studies (Brand et al., 2011, Laier et al., 2013, Laier et al., 2014, Laier et al., 2015, Rosenberg and Kraus, 2014 and Snagowski et al., 2015). These findings are consistent with the assumption that particularly those individuals are prone to develop IPD who functionalize pornography consumption to cope with depressive mood or stress (Cooper, Putnam, Planchon, & Boies, 1999). This assumption has also been suggested in the I-PACE model of specific Internet addiction (I-PACE stands for Interaction of Person-Affect-Cognition-Execution) (Brand, Young, Laier, Wolfling, & Potenza, 2016). One hypothesis of the model is that current mood might influence the decision to use a specific Internet application (e.g., Internet pornography) and that the effects received by using the specific application should reinforce Internet-related cognitions. In addition, the idea and expectancy that the use of the Internet application is helpful to cope with stress or abnormal mood is also considered to be reinforced and a general dysfunctional coping style, as well. Personality characteristics and also psychopathological symptoms may be stabilized or intensified by the experiences within the addiction process. Although dysfunctional coping has been shown to be associated to IPD (Laier & Brand, 2014), the role of current mood and mood changes after watching pornography on the Internet for symptoms of IPD has not been investigated, so far. The aim of the study was to contribute to filling this research gap by addressing the following hypotheses in a sample of regular Internet-pornography users: 1.) Tendencies towards IPD are related to general mood and perceived stress, 2.) Tendencies towards IPD are associated to current mood and sexual arousal before and after Internet pornography use, 3.) Tendencies towards IPD are associated to changes in mood and sexual arousal due to Internet pornography use, and 4.) The relationship between tendencies towards IPD and the motivation to use Internet pornography is moderated by sexual arousal gained by watching pornography. To address these hypotheses, an online field study with three measuring points was conducted.

2. Material and methods

2.1. Procedure

Participants were recruited through email lists, social network sites, and advertisements at the University of Duisburg-Essen (Germany). The description indicated explicitly that the online study investigates Internet-pornography use and that only male individuals were invited to participate. Individuals interested in participation were asked to answer the invitation by e-mail and were then briefed via a detailed description of the study. The study was introduced as a survey with three measuring points. In the first part, participants gave information about sociodemographic variables, the personal use of the Internet for sexually motivated behaviors, subjectively perceived stress, and symptoms of IPD (t1). It was explained to the participants that if they should self-determinedly watch Internet pornography in private environment for the next time, they were asked to answer questions regarding their current mood and sexual arousal before (second measuring point, t2) and after (third measuring point, t3). After the participants gave written informed consent they received tokens to match their data from the measuring points. All volunteers were invited to participate in a lottery to win one voucher from BestChoice (3 vouchers á 50€, 5 vouchers á 20€, 5 vouchers á 10€). The data was checked for plausibility and no noticeable problems were observed. The study was approved by the local ethics committee.

2.2. Participants

The sample comprised 80 male individuals (Mage = 26.41 years, SD = 6.23, range: 18–55). Mean education was 12.90 years (SD = 0.45), 43 individuals (53.8%) indicated to have a partner. Forty-nine individuals described themselves as “heterosexual”, 12 as “rather heterosexual”, 5 as “bisexual”, 2 as “rather homosexual”, and 12 as “homosexual”. The number of participants using specific Internet applications sexually motivated and the mean time spent for these specific applications are shown in Table 1. Sixty-six participants of the sample completed the survey at t2 and t3. Mean age of this subsample was 25.91 (SD = 5.43). All individuals of the subsample indicated to use cybersex applications on a regular basis.

Table 1.

Description of the sample's cybersexual activities. Mean scores and standard deviations refer to the time (min/week) spend to use a specific cybersex application.

 

n

M

SD

Softcore pictures

55 28.96 45.04

Softcore videos

26 20.03 30.81

Hardcore pictures

55 46.01 61.89

Hardcore videos

75 116.15 171.66

Sex chats

12 71.96 131.38

Sex via Webcam

4 185.45 154.08

Live sex Shows

7 32.20 37.35

Note. Please note the number of participants using one (n = 8), two (n = 14), three (n = 8), four (n = 25), five (n = 12), six (n = 10), or seven (n = 3) of the inquired specific cybersex applications. All mean scores and standard deviations only refer to individuals who used a specific cybersex application weekly.

Table options

2.3. Questionnaires

At t1, symptoms of IPD, general mood, perceived stress, and Internet-pornography use motivation were assessed. Tendencies towards IPD were measured with the short-version of the Internet Addiction Test modified for sex (s-IATsex, Cronbach's α = 0.83) ( Laier et al., 2013 and Wéry et al., 2015), which consists of the two subscales “loss of control/time management” (s-IATsex-1) and “social problems/craving” (s-IATsex-2). Twelve items were answered on a scale from 1 (= never) to 5 (= very often), which are summed up for the total score with high scores representing high tendencies towards or high symptoms of IPD, respectively. General mood was assessed with the Multidimensional Mood State Questionnaire (MDMQ, Cronbach's α = 0.94) (Steyer, Schwenkmezger, Notz, & Eid, 1997). Twenty-four items were answered on a scale from 1 (= not at all) 5 (= very), and mean scores of the subscales “good-bad” (MDMQ-good), “awake-tired” (MDMQ-awake), and “calm-nervous” (MDMQ-calm) were calculated. High scores represent rather good than bad, rather awake than tired, and rather calm than nervous mood. The Pornography Consumption Inventory (PCI, Cronbach's α = 0.83) was used to measure the four motivational dimensions for Internet-pornography use (Reid, Li, Gilliland, Stein, & Fong, 2011). Fifteen items were answered on a scale from 1 (= never like me) to 5 (= very often like me), and mean scores for the subscales “emotional avoidance” (PCI-EA), “Sexual Curiosity” (PCI-SC), “Excitement Seeking” (PCI-ES), and “Sexual pleasure” (PCI-SP) were calculated. High scores represent high motivation relevance for Internet-pornography use. To indicate stress vulnerability, the screening version of the Trier Inventory for Chronic Stress (TICS, Cronbach's α = 0.92) was applied (Schulz, Schlotz, & Becker, 2004). The questionnaire asks for perceived stress exposure in the last three months with twelve items which have to be answered on a scale from 0 (= never) to (= very often). A sum score was computed. High scores represent high perceived stress. Consistent with previous studies ( Laier et al., 2014 and Laier et al., 2015), individuals were asked whether or not they use specific Internet applications with a response format “yes/no”. If so, we asked how often (“less than once a year”, “at least once in a year and less than once each month”, “at least once a month and less than each week”, “at least once a week and less than once a day”, “at least once a day”) and for how long (“minutes per use”) they use the cybersex application. Mean scores of the weekly spent time in minutes per each cybersex application were computed.

At t2 and t3, we assessed current mood and sexual arousal before and after watching Internet pornography. Therefore, we modified the instruction of the MDMQ from “Generally I feel…” into “Right now, I feel…” and asked the participants to answer the questionnaire at t2 (Cronbach's α = 0.91) and at t3 (Cronbach's α = 0.93). We computed mean scores of the MDMQ-good, MDMQ-awake, and the MDMQ-calm at t2 and t3. Moreover, delta scores (“t3” − “t2”) were calculated to represent increase in good mood (Δ-good), awake mood (Δ-awake), and calm mood (Δ-calm). High scores represent strong increases in good, awake, or calm mood. As indicators of sexual arousal, participants indicated both their current sexual arousal on a scale from 0 = “not sexually aroused” to 100 = “very sexually aroused” as well as their need to masturbate from 0 = “no need to masturbate” to 100 = “very strong need to masturbate” at t2 and t3. Mean scores at t2 and t3 were calculated, high scores represent strong sexual arousal or need to masturbate. Two mean delta scores (“t2” − “t3”) were calculated to represent the decrease of sexual arousal (Δ-sexual arousal) and the decrease in the need to masturbate (Δ-need to masturbate). High scores represent a strong decrease of sexual arousal and the need to masturbate. Moreover, participants were asked whether they experienced one or more orgasms and how satisfying they perceived the orgasm/s (scale from 0 = “not at all satisfying” to 100 = “very satisfying”). The perceived satisfaction with the orgasm/s was used as indicator of gratification (“sexual gratification”).

3. Results

Descriptive results of the questionnaires are presented in Table 2. The mean sum score of the s-IATsex was 21.09 (SD = 0.69, range: 12–42). The s-IATsex correlated significantly with the MDMQ-good (r = − 0.32, p = 0.004), MDMQ-awake (r = − 0.29, p = 0.009), MDMQ-calm (r = − 0.30, p = 0.007), the PCI-EA (r = 0.48, p < 0.001), the PCI-ES (r = 0.40, p < 0.001), and the TICS (r = 0.36, p ≤ 0.001). The s-IATsex was not significantly correlated to the PCI-SC (r = 0.01, p = 0.91) and the PCI-SP (r = 0.02, p = 0.85).

Table 2.

Descriptive values of questionnaires assessed at t1.

N = 80

M

SD

s-IATsex-1

11.47 4.69

s-IATsex-2

9.61 3.21

MDMQ-good

3.89 0.88

MDMQ-awake

3.43 0.80

MDMQ-calm

3.56 0.78

PCI-EA

2.19 1.08

PCI-SC

2.52 0.94

PCI-SE

2.62 0.95

PCI-SP

4.08 0.71

TICS

1.41 0.87

Table options

From the subsample of 66 participants who completed also the survey at t2 and t3, 65 indicated that watching pornography online was accompanied by masturbation. Moreover, 61 of the participants experienced at least one orgasm while watching pornography and masturbating. Three individuals indicated to have experienced two, and two individuals indicated to have experienced three orgasms (M = 1.11, SD = 0.41). The four individuals reported not to have experienced an orgasm were excluded from further analyses. In the remaining sample of 61 participants, the mean score of the overall s-IATsex score was M = 20.59, SD = 6.59. The mean score of the s-IATsex-1 was M = 11.12 (SD = 4.70), the mean score of the s-IATsex-2 was M = 9.39 (SD = 2.79). Mean scores of the MDMQ-good, MDMQ-awake, MDMQ-calm, the sexual arousal and the need to masturbate at t2 and t3 as well as the results of t-tests for dependent samples are presented in Table 3.

Table 3.

Descriptive results of the questionnaires measured at t2 and t3 as well as the results of t-tests for dependent variables.

N = 61

t1


t2


t

p

da

M

SD

M

SD

MDMQ-good

3.91 0.90 4.14 0.77 3.22 0.002⁎⁎ 0.18

MDMQ-awake

3.06 0.12 3.19 0.93 1.61 0.11 0.13

MDMQ-calm

3.74 0.85 4.20 0.56 5.23 < 0.001⁎⁎ 0.60

Sexual arousal

51.69 26.19 27.69 27.44 4.88 < 0.001⁎⁎ 0.89

Need to masturbate

75.67 23.24 7.61 17.35 20.38 < 0.001⁎⁎ 3.30

a

Cohen's d for dependent samples.

⁎⁎

p ≤ 0.01.

Table options

On average, the decrease in sexual arousal (Δ-sexual arousal) was M = 24.00 (SD = 38.42), the decrease of the need to masturbate (Δ-need to masturbate) was M = 68.06 (SD = 26.08). When subtracting t2 from t3, the increase in good mood (Δ-good) was M = 0.23 (SD = 0.54), the increase in awake mood (Δ-awake) was M = 0.12 (SD = 0.59), and the increase of calm mood (Δ-calm) was M = 0.45 (SD = 0.68). Pearson-correlations between the s-IATsex scores and the indicators of sexual arousal and mood at t2 and t3 are shown in Table 4.

Table 4.

Pearson-correlations of the indicators of Internet-pornography-viewing disorder with the indicators of sexual arousal and mood before (t2) and following (t3) watching Internet in private environment.

N = 61

s-IATsex

s-IATsex-1

s-IATsex-2

t1

     

 Sexual arousal

0.13 0.16 0.02

 Need to masturbate

− 0.01 − 0.03 0.02

t2

     

 Sexual arousal

− 0.11 − 0.12 − 0.06

 Need to masturbate

− 0.06 0.06  0.25

 Δ-Sexual arousal

0.16 0.19 0.06

 Δ-Need to masturbate

0.03 − 0.07 0.19

t1

     

 MDMQ-good

 0.40  0.40⁎⁎  0.27

 MDMQ-awake

− 0.23 − 0.23 − 0.17

 MDMQ-calm

 0.41⁎⁎  0.44⁎⁎ − 0.23

t2

     

 MDMQ-good

 0.32  0.28  0.29

 MDMQ-awake

− 0.14 − 0.07 − 0.22

 MDMQ-calm

 0.35⁎⁎  0.30  0.33⁎⁎

 Δ-Good

0.21 0.27 0.04

 Δ-Calm

0.14 0.24 − 0.09

 Δ-Calm

0.22 0.31 0.02

p ≤ 0.05 (correlation is significantly different from zero with alpha = 5%, two-tailed).

⁎⁎

p ≤ 0.01 (correlation is significantly different from zero with alpha = 1%, two-tailed).

Table options

To test interaction effects between motivational factors and the changes in indicators of sexual arousal and mood due to Internet pornography use in predicting tendencies towards IPD, we calculated a moderated regression analysis with centralized predictor variables (Cohen, Cohen, West, & Aiken, 2003). The s-IATsex sum score was the dependent variable. In the first step, PCI-ES explained 8.90% of the s-IATsex, F(1, 59) = 5.79, p = 0.02. Adding sexual gratification (perceived satisfaction with orgasm) in the second step, variance did not increase significantly, changes in R2 = 0.006, changes in F(1, 58) = 0.36, p = 0.55. When entering the interaction of PCI-SE and sexual gratification, the explanation of the s-IATsex increased significantly, changes in R2 = 0.075, changes in F(1, 57) = 5.14, p = 0.03. The overall explanation of the s-IATsex through the three predictors remained significant (R2 = 0.17, F(3, 57) = 3.89, p = 0.01). For further values, see Table 5.

Table 5.

Hierarchical regression analysis with s-IATsex sum score as dependent variable.

 

β

T

p

Main effects “PCI-ES”

0.32 2.61 0.01

“Sexual gratification”

0.16 1.26 0.21

“PCI-ES × sexual gratification”

0.29 − 2.27 0.02

Table options

Given the significant interaction effect of PCI-ES and sexual gratification, we analyzed the simple slopes to address the moderating effect in more detail. The slope of regression line representing “low sexual gratification” (regression-based estimation for subjects one SD below the group's mean) was significantly different from zero (t = 3.67, p = 0.001). The slope of regression line representing “high sexual arousal” (regression-based estimation for subjects one SD above the group's mean) was not significantly different from zero (t = 0.48, p = 0.64). This indicates that the sum score of the s-IATsex was higher if individuals had a high motivation to watch pornography online to seek for excitation independently from whether or not the sexual gratification was high or low (see Fig. 1).

Fig. 1.

Fig. 1. 

Demonstration of the moderated regression analysis in which the sum score of the s-IATsex was the dependent variable. Individuals who experienced high sexual gratification when watching Internet pornography scored higher on the s-IATsex independently from their motivation to watch Internet pornography. Individuals who received low sexual arousal scored higher on the s-IATsex if they watch Internet pornography for excitement seeking.

Figure options

4. Discussion

4.1. General conclusions

The main results of the study are that tendencies towards IPD were associated negatively with feeling generally good, awake, and calm as well as positively with perceived stress in daily life and the motivation to use Internet pornography in terms of excitation seeking and emotional avoidance. Moreover, it was shown that watching Internet pornography self-determinedly in private environment was unsurprisingly accompanied by strong reductions of sexual arousal and the need to masturbate, but also by an increase of mood in terms of feeling better, more awake and calmer. Furthermore, tendencies towards IPD were negatively related to mood before and after watching Internet pornography as well as an actual increase of good and calm mood. The relationship between tendencies towards IPD and excitement seeking due to Internet-pornography use was moderated by the evaluation of the experienced orgasm's satisfaction. Generally, the results of the study are in line with the hypothesis that IPD is linked to the motivation to find sexual gratification and to avoid or to cope with aversive emotions as well as with the assumption that mood changes following pornography consumption are linked to IPD (Cooper et al., 1999 and Laier and Brand, 2014).

It was postulated earlier that functionalizing Internet-pornography use to cope with depressive mood or stress might be considered as risk factor for developing IPD (Cooper et al., 1999). Since we investigated a non-clinical sample, the descriptive results indicate that these individuals report rather low scores of symptom severity of IPD, stress and rather a good general mood. However, as expected, watching Internet pornography leads to an increase of mood and a decrease of sexual arousal, even in a non-clinical sample. The results that tendencies towards IPD were associated negatively with mood before and after Internet-pornography use and positively with the corresponding changes in mood are consistent with the hypothesized link of dysfunctional coping and IPD (Cooper et al., 1999). The relevance of dysfunctional coping for the development of IPD was also highlighted in the very recent I-PACE model (Brand, Young, Laier, Wolfing, et al., 2016). The I-PACE model assumes that individuals with several predisposing core characteristics might find themselves in a situation in which they feel stressed, have personal conflicts, or feel abnormal mood. This should lead to affective and cognitive responses, e.g. in the need for mood regulation and the decision to use a certain Internet application such as Internet pornography. The assumption is that the gratification received by Internet-pornography use reinforces the used coping style, but moreover specific motives for watching pornography and Internet-pornography-related cognitive biases. The interplay of a specific motivation for watching Internet pornography and the perceived gratification for explaining symptoms of IPD is represented in the moderated regression, in which the relationship between the motivation of Internet-pornography use because of excitement seeking and symptoms of IPD was moderated by the evaluation of the experienced orgasm's satisfaction. Individuals with low excitement seeking due to Internet pornography use and low perceived sexual gratification reported lowest tendencies towards IPD. However, individuals scored higher on IPD's symptom severity if they had a high motivation for Internet pornography use in terms of excitement seeking independently from whether or not they actually perceived watching Internet pornography as gratifying or not. This result might be related to another assumption of the I-PACE model, namely that Internet-pornography addiction should lead to gratification in the short-run, but that some individuals are at-risk to experience a shift from gratification to compensation as the addictive circle goes on leading to the development of cue-reactivity and craving as well as to an increasing diminished control over the pornography use and negative consequences in daily life (Brand, Young, Laier, Wolfing, et al., 2016). Since sexual arousal can be understood as a primary and therefore strong reinforcing stimulus (Georgiadis and Kringelbach, 2012 and Janssen, 2011) and against the background of conditioning processes in the context of addiction (Berridge, Robinson, & Aldridge, 2009), it makes sense to assume that sexual arousal can be understood as a unconditioned stimulus which can become associated to external and internal former neutral cues leading to cue-reactivity and resulting craving reactions. This corresponds with studies assessing brain correlates of perceived problems in controlling sexual behaviors showing that the activity of reward related brain structures and subjectively perceived craving are correlated to the presentation of addiction-related sexual cues (Brand et al., 2016a and Voon et al., 2014). So far, the results are in line with the prediction that the dysfunctional use of Internet pornography to cope with depressive mood or stress might be considered as a risk factor for developing an IPD. The results support some main assumptions of theoretical frameworks for Internet-use disorders, but these frameworks need to be specified regarding mechanisms contributing to the development and maintenance of an addictive use of Internet pornography.

4.2. Limitations and future studies

We addressed a clinical hypothesis by investigating a non-clinical sample. Also there was a noteworthy variance in the sample's tendency towards IPD, the results need to be verified in a help-seeking sample. Moreover, since we recruited only individuals who agreed on being investigated right before and after watching Internet pornography at home, a selection bias might have occurred. Although we asked participants whether they live in a relationship, but not whether they live together with their partner. For potential biases this needs to be controlled for in future studies. Furthermore, potential biases in the private environment could not be controlled. Future studies might address the effects of pornography use on mood in more detail (e.g., with long-term studies) or with respect to female users of Internet pornography.

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Corresponding author at: General Psychology: Cognition, University of Duisburg-Essen and Center for Behavioral Addiction Research (CeBAR), Forsthausweg 2, 47057 Duisburg, Germany.

© 2016 The Authors. Published by Elsevier B.V.

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